Dataset View [GSE51254]

TitleQuantitative assessment of single-cell RNA sequencing methods
ArticleQuake SR,Clarke MF,Sim S,Mantalas GL,Mburu FM,Rothenberg ME,Treutlein B,Dalerba P,Kalisky T,Neff NF,Wu AR.Quantitative assessment of single-cell RNA-sequencing methods.Nature methods.2014 Jan
Bio ProjectBioProject: http://www.ncbi.nlm.nih.gov/bioproject/PRJNA222225
SraSRA: http://www.ncbi.nlm.nih.gov/sra?term=SRP030617
Overall Desgin109 single-cell human transcriptomes were analyzed in total; 96 using nanoliter volume sample processing on a microfluidic platform, Nextera library prep (biological replicates); 3 using the SMARTer cDNA synthesis kit, Nextera library prep (biological replicates); 3 using the Transplex cDNA synthesis kit, Nextera library prep (biological replicates); 7 using the Ovation Nugen cDNA synthesis kit (biological replicates) where 3 used Nextera library prep and 4 used NEBNext library prep. In addition, 4 bulk RNA samples were sequenced: bulk RNA generated using ~1 million pooled cells was used to make bulk libraries, 2 of which were made using SMARTer cDNA synthesis kit (technical replicates) and 2 made using Superscript RT kit with no amplification (technical replicates). All 4 bulk samples were made into libraries using Nextera.
SummaryWe generated single-cell transcriptomes from a large number of single cells using several commercially available platforms, in both microliter and nanoliter volumes, and compared performance between them. We benchmarked each method to conventional RNA-seq of the same sample using bulk total RNA, as well as to multiplexed qPCR, which is the current gold standard for quantitative single-cell gene expression analysis. In doing so, we were able to systematically evaluate the sensitivity, precision, and accuracy of various approaches to single-cell RNA-seq. Our results show that it is possible to use single-cell RNA-seq to perform quantitative transcriptome measurements of individual cells, that it is possible to obtain quantitative and accurate gene expression measurements with a relatively small number of sequencing reads, and that when such measurements are performed on large numbers of cells, one can recapitulate the bulk transcriptome complexity, and the distributions of gene expression levels found by single-cell qPCR.
Experimental Protocolstandard cell lysis to extract RNA, followed by either kit specific mRNA priming or polyT bead extraction of mRNA. Microfluidic preparation sample cells were lysed within the microfluidic device.; Most were prepared using Illumina Nextera kit per illumina's protocols; some prepared using NEBNext kit per protocol instructions. Samples prepared using each are identified above in overall design, in the sample descriptions, and in the associated manuscript
Data processingremove adapter sequences using cutadapt-1.2.1; trim base quality and remove low complexity reads using prinseq-lite-0.20.3; alignment using bowtie-0.12.9 if single end, using bowtie2-2.1.0 if paired end, and tophat-2.0.8 against hg19; FPKM values computed using cufflinks-2.0.2; Genome_build: hg19; Supplementary_files_format_and_content: R dataframe format; one combined file for all samples. Contains tophat/cufflinks generated FPKM values.; Supplementary_files_format_and_content: pcr_cts.txt: tab-delimited text file that includes the qPCR data.
Public OnPublic on Oct 20 2013

Cell Groups